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Impact of enterprise information systems on selected key performance indicators in construction project management: An empirical study

  • Peter Mesároš
  • Annamária BehúnováEmail author
  • Tomáš Mandičák
  • Marcel Behún
  • Katarína Krajníková
Article
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Abstract

Business results and enterprise performance depends on various factors. First of all, there are primarily human resources and their knowledge, skills and competencies. Managerial decisions supported by progressive technology are other important factor. These decisions are often done based on reports and analyses with help of enterprise information systems.

The proper complementation of new technology and management system can be achieved a significant impact on key performance indicators and results of enterprises and projects. Implementation of new technology such as enterprise information system should be an asset for the enterprise. Cost and profit are one of the elementary key performance indicators. Measurement of its impact on business results are very important for construction project management. There is assumption, that exploitation of enterprise information system has effects on cost and profit in construction project management. Research discusses issue of enterprise information system impact on key performance indicators in construction project management. Research sample included results of construction projects in Slovak construction industry. Main objective of research was set as confirmation of hypotheses, that enterprise information system has impact on selected key performance indicators like cost and profit.

Keywords

Enterprise information system Key performance indicators Construction project management Cost Profit 

Notes

Acknowledgements

The paper presents a partial research results of project VEGA 1/0828/17 “Research and application of knowledge-based systems for modeling cost and economic parameters in Building Information Modeling”. “This work was supported by the Slovak Research and Development Agency under the Contract No. APVV-17-0549”.

References

  1. 1.
    Venkrbec, V., & Klanšek, U. (2016). Software-based support to decision-making process regarding the selection of concrete suppliers. In Advanced and trends in engineering sciences and technologies II—Proceedings of the 2nd International Conference on Engineering and Technologies, ESaT, 29th June 2016, Vysoké Tatry (pp. 1–6).Google Scholar
  2. 2.
    Ljevo, Ž., Vukomanović, M., & Rustempašić, N. (2017). Analysing significance of key quality factors for management of construction projects. Gradevinar, 69(5), 359–366.Google Scholar
  3. 3.
    Radziszewska-Zielina, E., & Sroka, B. (2018). Planning repetitive construction projects considering technological constraints. Open Engineering, 8(1), 500–505.CrossRefGoogle Scholar
  4. 4.
    Ying, F., & Tookey, J. (2017). Key performance indicator for managing construction logistics performance. In LC3 2017 Volume II—Proceedings of the 25th Annual Conference of the International Group for Lean Construction, Heraklion, Greece (pp. 869–876).Google Scholar
  5. 5.
    Neely, A., Adams, C., & Kenerley, M. (2002). The performance prism: The scorecard for measuring and management business success. London: Prentice-Hall.Google Scholar
  6. 6.
    Constructing Excellence. (2007). Industry performance report 2007—Based on the UK construction industry key performance indicators. London.Google Scholar
  7. 7.
    Bashekal, B. C., & Tumutegyereize, M. (2011). Measuring the performance of contractors in government construction projects in developing countries: Uganda’s context: Uganda Management Institute, Kampala. Kampala: Public Procurement and Disposal of Public assets Authority.Google Scholar
  8. 8.
    Humaidi, N., & Said, N. (2011). The influence of project life cycle and key performance indicators in project management performance: Comparison between ICT and construction project. In The 2nd International Conference on Construction and Project Management IPEDR (Vol. 15). Singapore: IACSIT Press.Google Scholar
  9. 9.
    Barone, D., Jiang, L., Amyot, D., & Mylopoulos, J. (2011). Reasoning with key performance indicators. In Business Information Processing (Vol. 23).Google Scholar
  10. 10.
    Kaplan, R. S., & Norton, D. P. (1996). Balanced scorecard: translating strategy into action. Brighton: Harvard Business School Press.Google Scholar
  11. 11.
    Sibiya, M., Aigbavboa, C., & Thwala, W. (2015). Construction Projects’ Key Performance Indicators: A case of the South Africa Construction Industry. In CCREM 2015.Google Scholar
  12. 12.
    Enshassil, A., Mohamed, S., & Abushaban, S. (2009). Factors affecting the performance of construction projects in the Gaza strip, Gaza.Google Scholar
  13. 13.
    Novak, M., & Završki, I. (2012). Mihić.: Managing information in construction business enterprises. E-gfos - Electronic Journal of the Faculty of Civil Engineering, Osijek, 5, 95–104.  https://doi.org/10.13167/2012.5.9.Google Scholar
  14. 14.
    Kršák, B., & Kyšeľa, K. (2016). The use of social media and internet data-mining for the tourist industry. Journal of Tourism & Hospitality, 5, 1–3.Google Scholar
  15. 15.
    Kolarić, S., & Vukomanovoć, M. (2017). Potential of BIM and ERP integration in contractor construction companies. In Conference Proceedings: 13th International Conference Organization, Technology and Management in Construction, Zagreb (pp. 669–673). ISBN 978-953-8168-21-5.Google Scholar
  16. 16.
    Radziszewska-Zielina, E. (2016). Analysis of the profitability of investment in renewable energy sources on the example of a semi-detached house. In E3S Web of Conferences—1st International Conference on the Sustainable Energy and Environment Development (Vol. 10).Google Scholar
  17. 17.
    Kozlovska, M., Spisakova, M., & Mačková, D. (2016). Company size impact on construction management documents processing and using. In Advances and Trends in Engineering Sciences and Technologies—Proceedings of the International Conference on Engineering Sciences and Technologies, ESaT 2015 (pp. 299–304).Google Scholar
  18. 18.
    Mesároš, P., Mandičák, T., Mesárošová, A., & Behún, M. (2016). Developing managerial and digital competencies trough BIM technologies in construction industry. In ICETA 2016—14th IEEE International Conference on Emerging eLearning Technologies and Applications, Proceedings (Vol. 14, pp. 217–222).Google Scholar
  19. 19.
    Čarnický, Š. (2004). Manažérske informačné systémy podnikov. Bratislava: Ekonóm, ISBN 80-225-1822-0.Google Scholar
  20. 20.
    Čarnický, Š., & Mesároš, P. (2009). Informačné systémy podnikov. Bratislava: Ekonóm, ISBN 978-80-225-2676-0.Google Scholar
  21. 21.
    Devis, B., & Brabander, E. (2009). ARIS design platform: Getting started with BPM. Berlin: Springer.Google Scholar
  22. 22.
    Bourgeois, D. T. (2014). Information Systems for Business and Beyond. Washington, DC: Saylor Academy.Google Scholar
  23. 23.
    Berisha-Namani, M. (2010). The role of information systems in management decision making—An theoretical approach. Manager Journal, 12, 109–116.Google Scholar
  24. 24.
    Haag, S., & Cummings, M. (2006). Essentials of information systems. New York: McGraw-Hill.Google Scholar
  25. 25.
    Čarnický, Š. (2001). Strategická úloha informačných systémov. Acta oeconomica Cassoviensia, 5.Google Scholar
  26. 26.
    Szilva, I., Caganova, D., Bawa, M., Pechanova, L., & Hornakova, N. (2018). Knowledge management perception in industrial enterprises within the CEE region. In Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST, 2nd EAI International Conference on ICT Infrastructures and Services for Smart Cities, IISSC 2017 and 2nd International Conference on Cloud, Networking for IoT Systems, CN4IoT 2017 (Vol. 189, pp. 66–75).Google Scholar
  27. 27.
    Mesároš, P., & Mandičák, T. (2017). Impact of ICT on performance of construction companies in Slovakia. In IOP Conference Series: Materials Science and Engineering: WMCAUS 2017 (Vol. 24, pp. 1–9). Bristol: IOP Publishing. ISSN 1757-8981.Google Scholar
  28. 28.
    Turban, E., et al. (2008). Information technology for management: Transforming organizations in the digital ecomonomy.Google Scholar
  29. 29.
    Balaban, N., Belić, K., & Gudelj, M. (2011). Business process performance management: Theoretical and methodological approach and implementation. Management Information Systems, 6, 3–9.Google Scholar
  30. 30.
    Otley, D. (2003). Management control and performance management: Whence and wither? The British Accounting Review, 35, 309–326.CrossRefGoogle Scholar
  31. 31.
    Eckerson, W. (2007). Benchmark guide: Interpreting benchmark scores using TDWI’s maturity model.Google Scholar
  32. 32.
    Neely, A. (2002). Business performance measurement: Theory and practice. Cambridge: Cambridge University Press.CrossRefGoogle Scholar
  33. 33.
    Kokles, M., & Romanová, A. (2002). Informačný vek. 2. vyd. Bratislava: Sprint. ISBN 80-89085-09-1.Google Scholar
  34. 34.
    Mesároš, P., Mandičák, T. (2017). Impact of ICT on performance of construction companies in Slovakia. In IOP Conference Series: Materials Science and Engineering: WMCAUS 2017 (Vol. 24, pp. 1–9). Bristol: IOP Publishing. ISSN 1757-8981.Google Scholar
  35. 35.
    Ghasemi, A., & Zahedias, S. (2012). Normality tests for statistical analysis: A guide for non-statisticians. International Journal of Endocrinology and Metabolism, 10, 486–489.CrossRefGoogle Scholar
  36. 36.
    MacFarland, T. W., & Yates, J. M. (2016). Mann–Whitney U Test. Introduction to nonparametric statistics for the biological sciences using R. Berlin: Springer.CrossRefzbMATHGoogle Scholar

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© Springer Science+Business Media, LLC, part of Springer Nature 2019

Authors and Affiliations

  1. 1.Institute of Construction Technology and Management, Civil Engineering FacultyTechnical University of KošiceKosiceSlovakia
  2. 2.Department of Industrial Engineering and Informatics, Faculty of Manufacturing TechnologiesTechnical University of KošicePrešovSlovakia
  3. 3.Institute of Earth Resources, Faculty of Mining, Ecology, Process Control and GeotechnologiesTechnical University of KošiceKosiceSlovakia

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